Software Consultant
CurrentEnjoying the opportunity to work with a client that is a well-known Australian retail brand.Supporting client's AWS data engineering team (DaaS) to maintain and improve the various data pipelines that feed business critical processes for reporting functions and product inventory availability. Where appropriate, we preference the use of serverless processes for workloads.Technologies used include: git (bitbucket), python, pandas, SQL, AWS Wrangler, Buildkite for CI/CDAWS Services used include: API Gateway, Athena, Cloudformation, Cloudwatch, Data Migration Service, Eventbridge, Glue, Lambda, RDS/Aurora Serverless, SNS, SQS, Step Functions.Presenting at team brownbags to socialise and encourage the adoption of patterns that leads to improvements in our services in terms of cost, performance, productivity, or reduced engineering effort. Recent examples include:* reducing costs involved in encrypting S3 bucket objects by applying a simple configuration change to bucket configurations. the changes has since been gradually rolled out to our AWS account, realising roughly 10k in annual cost savings* Organising Friday online team games now-and-then to encourage team mates to get to know each other better* socialising the benefits of adopting AWS Chatbot for systems notifications. This could potentially reduce the effort in maintaining our current notification setup.